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» Nonlinear signal processing vs. Kalman filtering
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EICS
2009
ACM
13 years 11 months ago
Input evaluation of an eye-gaze-guided interface: Kalman filter vs. velocity threshold eye movement identification
This paper evaluates the input performance capabilities of Velocity Threshold (I-VT) and Kalman Filter (I-KF) eye movement detection models when employed for eye-gaze-guided inter...
Do Hyong Koh, Sandeep A. Munikrishne Gowda, Oleg V...
CCE
2005
13 years 5 months ago
Monitoring process transitions by Kalman filtering and time-series segmentation
The analysis of historical process data of technological systems plays important role in process monitoring, modelling and control. Time-series segmentation algorithms are often u...
Balazs Feil, János Abonyi, Sandor Z. N&eacu...
NOMS
2006
IEEE
169views Communications» more  NOMS 2006»
13 years 11 months ago
Real-Time Measurement of End-to-End Available Bandwidth using Kalman Filtering
—This paper presents a new method, BART (Bandwidth Available in Real-Time), for estimating the end-toend available bandwidth over a network path. It estimates bandwidth quasi-con...
Svante Ekelin, Martin Nilsson, Erik Hartikainen, A...
TC
1998
13 years 4 months ago
Accuracy vs. Precision in Digital VLSI Architectures for Signal Processing
—The paper provides a sensitivity analysis to measure the loss in accuracy induced by perturbations affecting acyclic computational flows composed of linear convolutions and nonl...
Cesare Alippi, Luciano Briozzo